Browsing Ninth International Conference On Computer Applications (ICCA 2011) by Subject "Feature Selection"

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Feature Selection for Anomaly-Based Intrusion Detection System Using Information Gain and Mutual Correlation

Hlaing, Thuzar; Khine, May Aye (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)

To avoid high computational costs in identifying intrusions by IDSs, the size of a dataset needs to be reduced. Feature selection is considered a problem of global combinatorial optimization in machine learning, which ...
Modified-MCA Based Feature Selection Model for Classification

Khaing, Myo; Kham, Nang Saing Moon (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)

A central problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. A good feature set that contains highly correlated features ...

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